Instructions to use KrorngAI/TrorYongASR-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KrorngAI/TrorYongASR-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="KrorngAI/TrorYongASR-tiny", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("KrorngAI/TrorYongASR-tiny", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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### Model Description
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This is a **29M parameter** ASR (Automatic Speech Recognition) model inspired by [PARSeq](https://github.com/baudm/parseq/tree/main) and [Whisper](https://github.com/openai/whisper/tree/main). Compared to [whisper-tiny](https://huggingface.co/openai/whisper-tiny) with **39M** parameters, TrorYongASR
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<!-- This should link to a Dataset Card if possible. -->
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| Dataset | Language | Testing examples | Description
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| --------- | ---------- | ------------- | - |
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| **google/fleurs** | Khmer | 765 | Multi-lingual dataset with Khmer language samples |
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| **librispeech.clean** | English | 2620 | Clean speech dataset for English transcription |
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### Model Description
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This is a **29M parameter** ASR (Automatic Speech Recognition) model inspired by [PARSeq](https://github.com/baudm/parseq/tree/main) and [Whisper](https://github.com/openai/whisper/tree/main). Compared to [whisper-tiny](https://huggingface.co/openai/whisper-tiny) with **39M** parameters, **TrorYongASR Tiny** is a lightweight model designed for efficient speech-to-text task, particularly suitable for edge devices and mobile applications. The model supports both Khmer and English languages.
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<div align="center">
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<!-- This should link to a Dataset Card if possible. -->
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| Dataset | Language | Testing examples | Description |
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| --------- | ---------- | ------------- | - |
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| **google/fleurs** | Khmer | 765 | Multi-lingual dataset with Khmer language samples |
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| **librispeech.clean** | English | 2620 | Clean speech dataset for English transcription |
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